As AI becomes more personal, e.g., Agentic AI, there is an increasing need for personalizing models for various use cases. Personalized federated learning (PFL) enables each client to collaboratively leverage other clients' knowledge for better adapt...
So, org is having me setup GitHub actions workflows for some new CI/CD stuff. Historically using ADO with Service Principal + client secret I'm like cool. Clearly we'll use the azure/login action wit...
People and machines are collecting data at an unprecedented rate. Despite this newfound abundance of data, progress has been slow in sharing it for open science, business, and other data-intensive endeavors. Many such efforts are stymied by privacy c...
provide an alternative to centralized platforms such as YouTube, Vimeo, and Dailymotion. As an ActivityPub platform, PeerTube is part of the federated network
Throughout Western Canada is the network of Federated Co-op affiliates. In Canada’s Atlantic provinces, there are many food co-ops once affiliated with the now defunct Co-op Atlantic.
Throughout Western Canada is the network of Federated Co-op affiliates. In Canada’s Atlantic provinces, there are many food co-ops once affiliated with the now defunct Co-op Atlantic.
CO-OP ® is a registered trademark of Federated Co-operatives Limited. More than a grocery store, gas station, agro centre or home centre. We are owned by and give back to our communities.
In this demonstration, we present Country Guesser, a live system that guesses the country that a photo is taken in. In particular, given a Google Street View image, our federated ranking model uses a combination of computer vision, machine learning a...
A distributed social network (not to be confused with a decentralized or federated social network) is a network wherein all participating social networking
Survival analysis is a subfield of statistics concerned with modeling the occurrence time of a particular event of interest for a population. Survival analysis found widespread applications in healthcare, engineering, and social sciences. However, re...
Understanding and measuring the resilience of food supply networks is a global imperative to tackle increasing food insecurity. However, the complexity of these networks, with their multidimensional interactions and decisions, presents significant ch...
The implications of intergovernmental agencies may forever change the way in which governments provide common services within a federated Australia. As governments seek to reduce duplication and inconsistencies across state and territory borders, int...
"Flourmill Employes". The Register. Adelaide: National Library of Australia. 11 May 1910. p. 8. Retrieved 18 November 2014. "Mill Employes". Daily Herald
With the success of big data and artificial intelligence in many fields, the applications of big data driven models are expected in financial risk management especially credit scoring and rating. Under the premise of data privacy protection, we propo...
In this study, we propose a general-purpose synchronization method that allows a set of software-defined radios (SDRs) to transmit or receive any in-phase/quadrature data with precise timings while maintaining the baseband processing in the correspon...
ActivityPub-federated video streaming platform using P2P directly in your web browser (⭐ 14564)
Recent secure aggregation protocols enable privacy-preserving federated learning for high-dimensional models among thousands or even millions of participants. Due to the scale of these use cases, however, end-to-end empirical evaluation of these prot...
To prevent private training data leakage in Fed?erated Learning systems, we propose a novel se?cure aggregation scheme based on seed homomor?phic pseudo-random generator (SHPRG), named SASH. SASH leverages the homomorphic property of SHPRG to simplif...
Machine learning (ML) based smart meter data analytics is very promising for energy management and demand-response applications in the advanced metering infrastructure(AMI). A key challenge in developing distributed ML applications for AMI is to pres...
Machine and deep learning methods for medical and healthcare applications have shown significant progress and performance improvement in recent years. These methods require vast amounts of training data which are available in the medical sector, albe...